Nutrition literacy and salt reduction measures: a mediating role of salt reduction intention by Xiaoting Hu, Yuhui Sun, Xi Tian, Huaqing Liu

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Energy Pulsation Reduction in Modular Multilevel Converters Using Optimized Current Trajectories by Dennis Braeckle, Patrick Himmelmann, Lutz Groll, Veit Hagenmeyer, Marc Hiller

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Predictive Risk Model for the Development of Encephalopathy in Patients with Nutritional Pancreatic Necrosis by V. S Mikhin, N. Sh. Burchuladze, A. S. Popov, M. I. Turovets, I. V. Mikhin, A. V. Kitaeva

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Optimizing Models and Data Denoising Algorithms for Power Load Forecasting by Yanxia Li, Ilyosbek Numonov Rakhimjon Ugli, Yuldashev Izzatillo Hakimjon Ugli, Taeo Lee, Tae-Kook Kim

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A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction by Md. Alamin Talukder, Majdi Khalid, Nasrin Sultana

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Model predictive control for energy efficient AC motor drives: An overview by Muhammad Bilal Shahid, Weidong Jin, Muhammad Abbas Abbasi, Abdul Rashid Bin Husain, Hafiz Mudassir Munir, Mannan Hassan, Aymen Flah, Ahmed Saad Eddine Souissi, Thamer A. H. Alghamdi

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MASTER SLAVE UNIT FOR VEHICLE TO EVERYTHING COMMUNICATION WITH GROUP KEY MANAGEMENT FOR TRAFFIC CONGESTION REDUCTION by Spandana Mande, Nandha Kumar Ramachandran

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Nature-based Solutions as Building Blocks for coastal flood risk reduction: a model-based ecosystem service assessment by Massimiliano Marino, Martin J. Baptist, Ahmad I. K. Alkharoubi, Sofia Nasca, Luca Cavallaro, Enrico Foti, Rosaria Ester Musumeci

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Data-Driven Pavement Performance: Machine Learning-Based Predictive Models by Mohammad Fahad, Nurullah Bektas

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Assessment of urban traffic vehicle emissions reduction after integration of ‘traffic light countdown’ module in navigation by Minghui Zhang, Di Liu, Wenkai Qin, Jing Wang, Hao Fu, Qianxi Liu, Xifan Chen, Xiangmin Li, Hao Wang, Nana Qin, Sixian Qin, Siyuan Wang

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A predictive language model for SARS-CoV-2 evolution by Enhao Ma, Xuan Guo, Mingda Hu, Penghua Wang, Xin Wang, Congwen Wei, Gong Cheng

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An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management by Federico Mori, Giuseppe Naso

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Statistical and machine learning models for predicting university dropout and scholarship impact. by Stephan Romero, Xiyue Liao

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Development of an autoregressive neural network model for predicting accidents in the Khabarovsk Territory by E. V. Shokhirev, P. P. Volodkin, V. A. Lazarev, A. V. Konstantinov

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Data-driven intelligent productivity prediction model for horizontal fracture stimulation by Qian Li, Yiyong Sui, Mengying Luo, Bin Guan, Lu Liu, Yuan Zhao

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Colorectal cancer risk prediction using a simple multivariable model. by Gillian S Dite, Chi Kuen Wong, Aviv Gafni, Erika Spaeth

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Study on the Impact of Input Parameters on Seawater Dissolved Oxygen Prediction Models by Wenqing Li, Jing Lv, Yuhang Wang, Xiangfeng Kong

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The Utilization of a Naïve Bayes Model for Predicting the Energy Consumption of Buildings by Behnam Sadaghat, Ali Javadzade Khiavi, Babak Naeim, Erfan Khajavi, Hadi Sadaghat, Amir Reza Taghavi Khanghah

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Development and Validation of an Incident Hypertension Risk Prediction Model for Young Adults by Jaejin An, Heidi Fischer, Liang Ni, Mengying Xia, Soon Kyu Choi, Kerresa L. Morrissette, Rong Wei, Kristi Reynolds, Paul Muntner, Lisandro D. Colantonio, Andrew E. Moran, Brandon K. Bellows, Monika M. Safford, Norrina B. Allen, Vanessa Xanthakis, Carmen R. Isasi, Linda C. Gallo, Krista M. Perreira, Yiyi Zhang

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A Novel Energy Consumption Prediction Model Integrating Real-Time Traffic State Recognition and Velocity Prediction of BEVs by Yue Li, Yu Jiang, Jianhua Guo, Dong Xie

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